new_visitation_forecast {VisitorCounts}

visitation_forecast Class

Description

Class for visitation_model predictions (for use with predict.visitation_model()).

Usage

new_visitation_forecast(
  forecasts,
  logged_forecasts,
  differenced_logged_forecasts,
  differenced_standard_forecasts,
  n_ahead,
  proxy_forecasts,
  onsite_usage_forecasts,
  beta,
  constant,
  slope,
  criterion,
  past_observations,
  lag_estimate
)

Arguments

forecasts

A time series of forecasts for the visitation model. the forecasts will be in the standard scale of visitors per month

logged_forecasts

A time series of the logged forecasts for the visitation model.

differenced_logged_forecasts

A time series of the differenced logged forecasts for the visitation model.

differenced_standard_forecasts

A time series of the exponentiated differenced logged forecasts that are for the visitation model.

n_ahead

An integer describing the number of forecasts made.

proxy_forecasts

A time series of forecasts of the popularity proxy series.

onsite_usage_forecasts

A time series of forecasts of the original time series.

beta

A numeric or a character string specifying the seasonality adjustment factor. (beta_1)

constant

A numeric specifying the constant term in the model. This constant is understood as the mean of the trend-adjusted time_series. (beta_0)

slope

A numeric specifying the slope term in the model when a linear trend is assumed. (beta_2)

criterion

One of "MSE" or "Nonparametric", to specify the criterion used to select the lag.

past_observations

One of "none", "fitted", or "ref_series". If "fitted", past model fitted values are used. If "ref_series", the reference series in the visitation model object is used. Note that if difference = TRUE, one of these is needed to forecast the first difference.

lag_estimate

A numeric value specifying the estimated lag in the visitation model.

Value

Object of class "labeled_visitation_forecast".

Object of class "Visitation_forecast".